Wang-ML-Lab/llm-continual-learning-survey

Continual Learning of Large Language Models: A Comprehensive Survey

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Wang-ML-Lab/interpretable-foundation-models

[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models

Language: Python - Size: 47.9 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 1

Wang-ML-Lab/multi-domain-active-learning

[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Language: Python - Size: 163 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

Wang-ML-Lab/multimodal-needle-in-a-haystack

[NAACL 2025] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models

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Wang-ML-Lab/MMLU-SR

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Wang-ML-Lab/unified-continual-learning

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

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Wang-ML-Lab/bayesian-peft

[NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

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Wang-ML-Lab/variational-imbalanced-regression

[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing

Language: Python - Size: 268 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wang-ML-Lab/GRDA

[ICLR 2022] Graph-Relational Domain Adaptation

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Wang-ML-Lab/VDI

[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation

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Wang-ML-Lab/TSDA

[ICML 2023] Taxonomy-Structured Domain Adaptation

Language: Python - Size: 21.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0